Representational Diversity

Representational diversity is a structural requirement Hutchins's framework extracts from observation of reliable cognitive systems operating in demanding domains. The navigation team employed multiple representational formats — visual bearings observed through the pelorus, numerical values called verbally between members, geometric constructions on the chart, written records in the bearing log. Each format captured the same underlying information but captured it differently, in a medium with different properties and different vulnerabilities to error. The transformations between formats served as cognitive checkpoints. When a visual bearing was translated into a numerical value, the bearing taker had to attend with sufficient precision to produce an accurate number. When the numerical value was translated into a chart line, the plotter had to attend with sufficient care to place it correctly. At each transformation, information passed through a cognitive filter that could catch inconsistencies before they propagated. The AI-augmented builder's desk operates through a representational monoculture — natural language and code — lacking the multiple cross-referencing media that support robust error detection.